Title
Modeling Traffic at Sags.
Abstract
Freeway capacity decreases at sags due to local changes in car-following behavior. Consequently, sags are often bottlenecks in freeway networks. This article presents a microscopic traffic model that reproduces traffic flow dynamics at sags. The traffic model includes a new car-following model that takes into account the influence of freeway gradient on vehicle acceleration. The face-validity of the traffic model is tested by means of a simulation study. The study site is a sag of a Japanese freeway. The simulation results are compared to empirical traffic data presented in previous studies. We show that the model is capable of reproducing the key traffic phenomena that cause the formation of congestion at sags, including the lower capacity compared to normal sections, the location of the bottleneck around the end of the vertical curve, and the capacity drop induced by congestion. Furthermore, a sensitivity analysis indicates that the traffic model is robust enough to reproduce those phenomena even if some inputs are modified to some extent. The sensitivity analysis also shows what parameters need to be calibrated more accurately for real world applications of the model.
Year
DOI
Venue
2016
10.1007/s13177-014-0102-3
International Journal of Intelligent Transportation Systems Research
Keywords
Field
DocType
Sag, Traffic congestion, Microscopic traffic model, Model face-validity, Sensitivity analysis
Car following,Traffic generation model,Bottleneck,Traffic flow,Simulation,Traffic model,Engineering,Traffic congestion reconstruction with Kerner's three-phase theory,Vehicle acceleration,Traffic congestion
Journal
Volume
Issue
ISSN
14
1
1868-8659
Citations 
PageRank 
References 
0
0.34
2
Authors
6
Name
Order
Citations
PageRank
Bernat Goñi Ros110.76
Victor L. Knoop272.19
Yasuhiro Shiomi3112.24
toshimichi takahashi421.50
Bart van Arem58422.79
Serge P. Hoogendoorn618638.38